One Month to a More Effective Compliance Program Through Data - Driven Compliance: Day 1 - Introduction to Data - Driven Compliance

One Month to a More Effective Compliance Program Through Data – Driven Compliance: Day 1 – Introduction to Data – Driven Compliance

December 1, 2023

In the world of compliance, data analytics and monitoring have become increasingly important. The Department of Justice (DOJ) has emphasized the significance of effective compliance programs, highlighting the role of data analytics and technology-driven approaches. Data-driven compliance helps companies gain insights into their data for informed decisions and improved compliance culture. Data-driven compliance should be designed to identify hidden money, prevent improper payments, and improve business efficiency. A key is the ability to facilitate collaboration and data sharing without compromising privacy or security, thereby enhancing the performance of predictive models.

In the Albemarle FCPA enforcement, the DOJ said for the first time that data-driven compliance is now a part of the requirements of an effective compliance program. By leveraging data and data analytics, compliance professionals more effectively manage risks, improve compliance culture, investigate issues, and ultimately keep companies out of trouble. Additionally, a robust data analytics platform will also contribute to making the business better by identifying hidden money, stopping improper payments, and enhancing overall business efficiency.

By leveraging data analytics, companies can identify hidden money, prevent improper payments, and enhance overall business efficiency. In today’s regulatory environment, the risk of not adopting data-driven compliance approaches is high, making solutions essential for companies seeking to stay compliant and improve their business practices.

Three key takeaways:

1. The DOJ identified data analytics as a part of a best practices compliance program in the Albemarle FCPA enforcement action.

2. Data-driven compliance allows companies to access their data, search vendors, analyze transactions, run corruption and fraud tests, and even evaluate predictive models.

3. Data-driven compliance should be designed to identify hidden money, prevent improper payments, and improve business efficiency.

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